Python 하드웨어 정보 가져오기

pip3 install psutil

import psutil
import platform
from datetime import datetime

 

CPU 사용량 가져오기

# let's print CPU information
print("="*40, "CPU Info", "="*40)
# number of cores
print("Physical cores:", psutil.cpu_count(logical=False))
print("Total cores:", psutil.cpu_count(logical=True))
# CPU frequencies
cpufreq = psutil.cpu_freq()
print(f"Max Frequency: {cpufreq.max:.2f}Mhz")
print(f"Min Frequency: {cpufreq.min:.2f}Mhz")
print(f"Current Frequency: {cpufreq.current:.2f}Mhz")
# CPU usage
print("CPU Usage Per Core:")
for i, percentage in enumerate(psutil.cpu_percent(percpu=True, interval=1)):
    print(f"Core {i}: {percentage}%")
print(f"Total CPU Usage: {psutil.cpu_percent()}%")

 

메모리 사용량 가져오기

# Memory Information
print("="*40, "Memory Information", "="*40)
# get the memory details
svmem = psutil.virtual_memory()
print(f"Total: {get_size(svmem.total)}")
print(f"Available: {get_size(svmem.available)}")
print(f"Used: {get_size(svmem.used)}")
print(f"Percentage: {svmem.percent}%")
print("="*20, "SWAP", "="*20)
# get the swap memory details (if exists)
swap = psutil.swap_memory()
print(f"Total: {get_size(swap.total)}")
print(f"Free: {get_size(swap.free)}")
print(f"Used: {get_size(swap.used)}")
print(f"Percentage: {swap.percent}%")

 

디스크 사용량 가져오기 (방법 1)

# Disk Information
print("="*40, "Disk Information", "="*40)
print("Partitions and Usage:")
# get all disk partitions
partitions = psutil.disk_partitions()
for partition in partitions:
    print(f"=== Device: {partition.device} ===")
    print(f"  Mountpoint: {partition.mountpoint}")
    print(f"  File system type: {partition.fstype}")
    try:
        partition_usage = psutil.disk_usage(partition.mountpoint)
    except PermissionError:
        # this can be catched due to the disk that
        # isn't ready
        continue
    print(f"  Total Size: {get_size(partition_usage.total)}")
    print(f"  Used: {get_size(partition_usage.used)}")
    print(f"  Free: {get_size(partition_usage.free)}")
    print(f"  Percentage: {partition_usage.percent}%")
# get IO statistics since boot
disk_io = psutil.disk_io_counters()
print(f"Total read: {get_size(disk_io.read_bytes)}")
print(f"Total write: {get_size(disk_io.write_bytes)}")

 

디스크 사용량 가져오기 (방법 2)

total = st.f_blocks * st.f_frsize
used = (st.f_blocks - st.f_bfree) * st.f_frsize
used_per = round((used / total),3) * 100
print(f"Disk Usage: {used_per}%")

 

네트워크 정보 가져오기

# Network information
print("="*40, "Network Information", "="*40)
# get all network interfaces (virtual and physical)
if_addrs = psutil.net_if_addrs()
for interface_name, interface_addresses in if_addrs.items():
    for address in interface_addresses:
        print(f"=== Interface: {interface_name} ===")
        if str(address.family) == 'AddressFamily.AF_INET':
            print(f"  IP Address: {address.address}")
            print(f"  Netmask: {address.netmask}")
            print(f"  Broadcast IP: {address.broadcast}")
        elif str(address.family) == 'AddressFamily.AF_PACKET':
            print(f"  MAC Address: {address.address}")
            print(f"  Netmask: {address.netmask}")
            print(f"  Broadcast MAC: {address.broadcast}")
# get IO statistics since boot
net_io = psutil.net_io_counters()
print(f"Total Bytes Sent: {get_size(net_io.bytes_sent)}")
print(f"Total Bytes Received: {get_size(net_io.bytes_recv)}")

 

GPU정보 가져오기

pip3 install gputil
pip3 install tabulate

 

# GPU information
import GPUtil
from tabulate import tabulate
print("="*40, "GPU Details", "="*40)
gpus = GPUtil.getGPUs()
list_gpus = []
for gpu in gpus:
    # get the GPU id
    gpu_id = gpu.id
    # name of GPU
    gpu_name = gpu.name
    # get % percentage of GPU usage of that GPU
    gpu_load = f"{gpu.load*100}%"
    # get free memory in MB format
    gpu_free_memory = f"{gpu.memoryFree}MB"
    # get used memory
    gpu_used_memory = f"{gpu.memoryUsed}MB"
    # get total memory
    gpu_total_memory = f"{gpu.memoryTotal}MB"
    # get GPU temperature in Celsius
    gpu_temperature = f"{gpu.temperature} °C"
    gpu_uuid = gpu.uuid
    list_gpus.append((
        gpu_id, gpu_name, gpu_load, gpu_free_memory, gpu_used_memory,
        gpu_total_memory, gpu_temperature, gpu_uuid
    ))

print(tabulate(list_gpus, headers=("id", "name", "load", "free memory", "used memory", "total memory",
                                   "temperature", "uuid")))

 

 

 

요약

 

import psutil
import os
import GPUtil


def get_size(bytes, suffix="B"):
    """
    Scale bytes to its proper format
    e.g:
        1253656 => '1.20MB'
        1253656678 => '1.17GB'
    """
    factor = 1024
    for unit in ["", "K", "M", "G", "T", "P"]:
        if bytes < factor:
            return f"{bytes:.2f}{unit}{suffix}"
        bytes /= factor


# CPU Information
for i, percentage in enumerate(psutil.cpu_percent(percpu=True, interval=1)):
    pass
print(f"CPU Usage: {psutil.cpu_percent()}%")

# Memory Information
svmem = psutil.virtual_memory()
print(f"Memory Usage: {svmem.percent}%")

# Disk Information 
st = os.statvfs("/")
# 총, 남은 디스크 용량 계산
total = st.f_blocks * st.f_frsize
used = (st.f_blocks - st.f_bfree) * st.f_frsize
used_per = round((used / total),3) * 100
print(f"Disk Usage: {used_per}%")

# Network information
print("=" * 40, "Network Information", "=" * 40)
# get IO statistics since boot
net_io = psutil.net_io_counters()
print(f"Total Bytes Sent: {get_size(net_io.bytes_sent)}")
print(f"Total Bytes Received: {get_size(net_io.bytes_recv)}")

# GPU information

print("=" * 40, "GPU Details", "=" * 40)
gpus = GPUtil.getGPUs()

for gpu in gpus:
    # get the GPU id
    gpu_id = gpu.id
    # name of GPU
    gpu_name = gpu.name
    # get % percentage of GPU usage of that GPU
    gpu_load = f"{gpu.load * 100}%"
    # get free memory in MB format
    gpu_free_memory = f"{gpu.memoryFree}MB"
    # get used memory
    gpu_used_memory = f"{gpu.memoryUsed}MB"
    # get total memory
    gpu_total_memory = f"{gpu.memoryTotal}MB"

    print(gpu_name)
    print(gpu_load)
    print(gpu_free_memory)
    print(gpu_used_memory)
    print(gpu_total_memory)
    
    
    
    
    
    
CPU Usage: 2.0%
Memory Usage: 10.1%
Disk Usage: 12.0%
======================================== Network Information ========================================
Total Bytes Sent: 42.75MB
Total Bytes Received: 77.08MB
======================================== GPU Details ========================================
GeForce RTX 3090
1.0%
23772.0MB
493.0MB
24265.0MB